(1) SPTree [1]}: This model is an end-to-end neural entity and relation extraction model using a sequence LSTM and a tree LSTM. The sequence LSTM identifies all the entities first, and then the tree LSTM finds the relation between all pairs of entities. They bring these two tasks together using shared parameters. Although this is an end-to-end model, entity detection and relation classification are still performed separately.
